Table 3.

Number of statistically significant principal components (PCs) using different stopping rules.

Stopping ruleNumber of statistically significant PCs
Pseudo-F ratio4
Eigenvalues P-value1
Broken stick1
Auer-Gervini: TwiceMean1
Auer-Gervini: K-means (k = 2)1
Auer-Gervini: K-means (k = 3)1
Auer-Gervini: spectral clustering1
Auer-Gervini: changepoint1